Chad Schafer

5.3k total citations
25 papers, 242 citations indexed

About

Chad Schafer is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Chad Schafer has authored 25 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Astronomy and Astrophysics, 6 papers in Atmospheric Science and 6 papers in Global and Planetary Change. Recurrent topics in Chad Schafer's work include Galaxies: Formation, Evolution, Phenomena (10 papers), Climate variability and models (5 papers) and Advanced Statistical Methods and Models (4 papers). Chad Schafer is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (10 papers), Climate variability and models (5 papers) and Advanced Statistical Methods and Models (4 papers). Chad Schafer collaborates with scholars based in United States. Chad Schafer's co-authors include W. M. Wood‐Vasey, Ann B. Lee, Joseph W. Richards, Peter E. Freeman, Philip B. Stark, Ian Foster, John R. Anderson, Robert Jacob, William L. Hibbard and Charles A. Doswell and has published in prestigious journals such as Journal of the American Statistical Association, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Chad Schafer

23 papers receiving 226 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chad Schafer United States	9	91	63	54	34	27	25	242
Ethan Anderes United States	10	107 1.2×	54 0.9×	38 0.7×	14 0.4×	8 0.3×	18	345
Markus Michael Rau United States	12	222 2.4×	76 1.2×	20 0.4×	31 0.9×	4 0.1×	28	342
M. Gaug Spain	9	99 1.1×	47 0.7×	11 0.2×	13 0.4×	52 1.9×	45	254
Lewis Smith United Kingdom	8	118 1.3×	107 1.7×	6 0.1×	82 2.4×	44 1.6×	13	437
Kai Polsterer Germany	11	206 2.3×	45 0.7×	11 0.2×	41 1.2×	4 0.1×	36	317
Michelle Lochner South Africa	11	241 2.6×	50 0.8×	12 0.2×	20 0.6×	4 0.1×	21	336
David Mary France	10	117 1.3×	18 0.3×	27 0.5×	59 1.7×	24 0.9×	50	264
Jens Schmalzing Germany	8	311 3.4×	20 0.3×	7 0.1×	32 0.9×	6 0.2×	11	415
Alexander Gray	4	249 2.7×	34 0.5×	9 0.2×	10 0.3×	5 0.2×	8	326
Leon Palafox Japan	8	122 1.3×	72 1.1×	4 0.1×	71 2.1×	23 0.9×	25	329

Countries citing papers authored by Chad Schafer

Since Specialization

Citations

This map shows the geographic impact of Chad Schafer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chad Schafer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Schafer more than expected).

Fields of papers citing papers by Chad Schafer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad Schafer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chad Schafer. The network helps show where Chad Schafer may publish in the future.

Co-authorship network of co-authors of Chad Schafer

This figure shows the co-authorship network connecting the top 25 collaborators of Chad Schafer. A scholar is included among the top collaborators of Chad Schafer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chad Schafer. Chad Schafer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Schafer, Chad, et al.. (2024). Reinterpreting fundamental plane correlations with machine learning. Monthly Notices of the Royal Astronomical Society. 530(4). 3752–3764.

Mandelbaum, Rachel, et al.. (2024). Joint inference of multiplicative and additive systematics in galaxy density fluctuations and clustering measurements. Monthly Notices of the Royal Astronomical Society. 531(4). 4954–4973. 2 indexed citations

Schafer, Chad & Charles A. Doswell. (2021). Using Kernel Density Estimation to Identify, Rank, and Classify Severe Weather Outbreak Events. 6(2). 1–28. 5 indexed citations

Schafer, Chad & Charles A. Doswell. (2021). Multivariate Index for Ranking. 5(1). 1–39. 1 indexed citations

Wang, Kuan, Yao-Yuan Mao, Andrew R. Zentner, et al.. (2019). How to optimally constrain galaxy assembly bias: supplement projected correlation functions with count-in-cells statistics. Monthly Notices of the Royal Astronomical Society. 488(3). 3541–3567. 24 indexed citations

Cisewski-Kehe, Jessi & Chad Schafer. (2019). Special Issue on Astrostatistics. CHANCE. 32(3). 4–5. 2 indexed citations

Richards, Joseph W., Peter E. Freeman, Ann B. Lee, & Chad Schafer. (2018). Exploiting Low-Dimensional Structure in Astronomical Spectra. Figshare. 10 indexed citations

Rudin, Cynthia, David B. Dunson, Rafael A. Irizarry, et al.. (2014). Discovery with Data: Leveraging Statistics with Computer Science to Transform Science and Society. 20 indexed citations

Schafer, Chad, et al.. (2013). LIKELIHOOD-FREE COSMOLOGICAL INFERENCE WITH TYPE Ia SUPERNOVAE: APPROXIMATE BAYESIAN COMPUTATION FOR A COMPLETE TREATMENT OF UNCERTAINTY. The Astrophysical Journal. 764(2). 116–116. 60 indexed citations

10.

Schafer, Chad, Nicholas G. Campbell, Guiqing Cai, et al.. (2013). Whole exome sequencing reveals minimal differences between cell line and whole blood derived DNA. Genomics. 102(4). 270–277. 8 indexed citations

11.

Didier, Jonathan E., Chad Schafer, & Philip R. LeDuc. (2012). Programmed Biologically Inspired Synthetic Templating of Multifunctional Nanoarchitectures for Small‐Scale Reactions. European Journal of Inorganic Chemistry. 2012(32). 5405–5410. 1 indexed citations

12.

Richards, Joseph W., Ann B. Lee, Chad Schafer, & Peter E. Freeman. (2012). Prototype selection for parameter estimation in complex models. The Annals of Applied Statistics. 6(1). 3 indexed citations

13.

Richards, Joseph W., Peter E. Freeman, Ann B. Lee, & Chad Schafer. (2009). Accurate parameter estimation for star formation history in galaxies using SDSS spectra. Monthly Notices of the Royal Astronomical Society. 399(2). 1044–1057. 18 indexed citations

14.

Lee, Ann B., et al.. (2009). High-dimensional density estimation via SCA: An example in the modelling of hurricane tracks. Statistical Methodology. 8(1). 18–30. 11 indexed citations

15.

Schafer, Chad. (2007). A Statistical Method for Estimating Luminosity Functions Using Truncated Data. The Astrophysical Journal. 661(2). 703–713. 9 indexed citations

16.

McMahan, H. Brendan, et al.. (2007). Efficiently computing minimax expected-size confidence regions. 97–104. 4 indexed citations

17.

Schafer, Chad & Philip B. Stark. (2004). Constructing confidence regions of optimal expected size: theory and application to cosmic microwave inference. 1 indexed citations

18.

Schafer, Chad & Philip B. Stark. (2003). Using what we know: Inference with Physical Constraints. 25. 8 indexed citations

19.

Schafer, Chad, et al.. (1997). FOAM. 1–15. 9 indexed citations

20.

Hibbard, William L., et al.. (1996). Exploring Coupled Atmosphere-Ocean Models Using Vis5D. 10(2-3). 211–222. 29 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact